Early detection of damages in fruits with amplitude-only measurements - Ecole Centrale de Marseille
Communication Dans Un Congrès Année : 2021

Early detection of damages in fruits with amplitude-only measurements

Résumé

Fighting fruit diseases, farmers are in demand of an automatic Non Destructive Evaluation system for detecting the damages in fruits. In this paper, we propose a proof of concept using amplitude-only measurements associated with a Machine learning Algorithm of linear Support Vector Machine type, for sorting healthy from damaged peaches hidden by leaves. The system operates in W-band and the total accuracy of the classifier is 100%
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Dates et versions

hal-03525894 , version 1 (14-01-2022)

Identifiants

  • HAL Id : hal-03525894 , version 1

Citer

Flora Zidane, Jérôme Lantéri, Claire Migliaccio, Julien Marot. Early detection of damages in fruits with amplitude-only measurements. IEEE AP-S/URSI 2021, Dec 2021, Marina Bay Sand, Singapore. pp.2. ⟨hal-03525894⟩
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